Quantum-Enhanced Adaptive Topology Discovery

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper introduces a novel quantum-enhanced adaptive topology discovery algorithm, termed "Quantum-Enhanced Adaptive Topology Discovery" (QAED). The algorithm leverages quantum mechanics to dynamically adjust parameters during the topological structure discovery process, enabling a more efficient and nuanced exploration of topological spaces. We propose a framework for quantifying and optimizing the search space, incorporating quantum-inspired optimization techniques to guide the algorithm's exploration. The core mechanism centers around a quantum-enhanced parameter adjustment process that iteratively refines the search based on a feedback loop, improving the ability to identify complex topological features. We demonstrate the algorithm's effectiveness through a series of simulations and preliminary analysis, showcasing the potential for significantly accelerating and enhancing the discovery of topological structures compared to traditional methods. This work addresses a fundamental challenge in topology research by introducing a fundamentally new approach to parameter optimization.

DOI: 10.5281/zenodo.22267561

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